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The rapid adoption of artificial intelligence (AI) is transforming organizational efficiency, but it also introduces significant security challenges. Experts at the Singapore International Cyber Week highlighted the need for a new security approach that goes beyond traditional IT practices. Key concerns include data security, model integrity, and the potential for adversarial attacks, necessitating international collaboration to address these risks effectively.
Evan Miyazono from Atlas Computing emphasized the importance of understanding AI's capabilities and risks, while Chris Hockings from IBM Security Asia-Pacific pointed out the urgency of addressing these security threats. The discussion underscored the necessity for shared responsibility across organizations and the development of global standards to ensure AI safety, with calls for a collaborative framework similar to the Intergovernmental Panel on Climate Change.
• AI adoption brings unprecedented opportunities alongside complex security risks.
• International collaboration is essential for addressing AI security challenges.
Data security is crucial as AI systems can be vulnerable to breaches and misuse.
Model integrity ensures that AI outputs are reliable and free from manipulation.
Adversarial attacks involve manipulating AI inputs to produce incorrect outputs, posing significant risks.
Atlas Computing focuses on AI safety, emphasizing the need to understand AI's risks and capabilities.
IBM is involved in addressing AI security threats, highlighting the urgency of data and model security.
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